Magnolia-Mell-v1-12B
This is a merge of pre-trained language models created using mergekit.
An asymmetric gradient SLERP was used to lightly apply MN-12B-Mag-Mell-R1 to Magnolia-v3-12B.
Tested for narrative text completion with temperature=1.0 and minP=0.02. Coherence is fairly high, though there may be occasional slips. If repetition is a problem, raising temperature briefly may help. The model appears to tolerate temperature=2.0 even.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: grimjim/Magnolia-v3-12B
dtype: bfloat16
merge_method: slerp
slices:
- sources:
- model: grimjim/Magnolia-v3-12B
layer_range: [0,40]
- model: inflatebot/MN-12B-Mag-Mell-R1
layer_range: [0,40]
parameters:
t:
- filter: self_attn
value: [0.0,0.09]
- filter: mlp
value: [0.09,0.0]
- value: [0.0,0.09]